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Contact

Language Skills

R
Javascript (d3.js)
Python
Bash
SQL
C++
SAS
SPSS

Open Source Contributions

All projects available at github.com/MJobinASU/<name>

More info

See full CV at jobee.com/cv for more complete list of positions and publications.

Disclaimer

Some items in resume / cv are for filler only and not meant as truth.

Made w/ pagedown.

Source code: github.com/nstrayer/cv.

Last updated on 2025-09-20.

Main

Michael Jobin

Data-driven analyst focused on turning messy public data into clear, actionable stories. I build reproducible R workflows (tidyverse, R Markdown) to collect, clean, and visualize information, and I’ve delivered projects ranging from web scraping and custom HTML/CSS components to automated reporting pipelines. I pair quantitative analysis with clear communication and stakeholder-centered design so that complex results translate into decisions and deliverables anyone can use.

Currently searching for a data science position that allows me to build tools using visualization and machine learning to help people explore and understand their data.

Education

PhD. Candidate in Public Health

Phoenix, Arizona

ASU

2026 - 2024

  • College of Health Solutions - Health Systems Research and Policy
  • University Graduate Research Associate

MPH

Miami, Florida

Univeristy of Miami

2024

  • Masters Public Health

B.A., Philosophy

Greensboro, North Carolina

University of North Carolina - Greensboro

1984 - 1981

Selected Positions

Graduate Research Assistant

ASU

CHiR

2026 - 2024

  • Primarily working with large EHR and Weather datasets.
  • Developing network-based methods to investigate and visualize clinically relevant patterns in data.

President

Houston, Texas

Jobee Incorporated

2026 - 2003

  • Healthcare Consulting Firm
  • Hospital Operations

Selected Writing

Multimorbidity Explorer | A shiny app for exploring EHR and biobank data

N/A

RStudio::conf 2019

2019

  • Contributed Poster. Authored with Yaomin Xu.

Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records

N/A

Under-Review (copy available upon request.)

2019

  • Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
  • Analysis done using method built for my dissertation.

Patient specific comorbidities impact overall survival in myelofibrosis

N/A

Under-Review (copy available upon request.)

2019

  • Bayesian network analysis used to find robust novel subgroups of patients with given genetic mutations.
  • Analysis done using method built for my dissertation.

The Traveling Metallurgist

N/A

LiveFreeOrDichotomize.com

2017

  • Pure javascript implementation of traveling salesman solution using simulated annealing.
  • Allows reader to customize the number and location of cities to attempt to trick the algorithm.

A Trail of Terror in Nice, Block by Block

N/A

The New York Times

2016

  • Led research effort to put together story of 2016 terrorist attack in Nice, France in less than 12 hours.
  • Work won Silver medal at Malofiej 2017, and gold at Society of News and Design.